Modern workloads such as Hadoop, Kafka and machine learning are demanding in terms of the volume of data that must be processed, the speed at which that data much be processed, and the fact that their capacity and performance requirements…
Modern workloads such as Hadoop, Kafka and machine learning are demanding in terms of the volume of data that must be processed, the speed at which that data much be processed, and the fact that their capacity and performance requirements…
Hyperscale architectures typically sacrifice resource efficiency for performance by using direct attached storage instead of a shared storage solution. That lost efficiency though, means the organization is spending money on excess compute, graphics processing units (GPUs) and storage capacity that…
Direct attached storage (DAS) is the default storage “infrastructure” for data intensive workloads like Elastic, Hadoop, Kafka and TensorFlow. The problem, as we detailed in the last blog, is using DAS creates a brittle, siloed environment. Compute nodes can’t be…
The modern data center infrastructure market is characterized by the need for improved agility and responsiveness, and to make more strategic use of IT budgets. Cloud computing has introduced the concept of subscription-based IT service delivery, but it lacks on-premises…
Non-volatile memory express (NVMe) storage media and NVMe-over Fabrics (NVMeoF) storage network protocols open the door for new levels of performance and latency demanded by intensive, modern workloads such as big data analytics and artificial intelligence. However, the higher price…
One of the advantages of the NVMe Flash standard is that it is networkable. NVMe over Fabrics (NVMf) brings direct attach storage like latency to shared storage systems. NVMf eliminates the need for modern applications like Hadoop and others to…
IT administrators have reached a level of confidence with VMware and other hypervisors that make them more comfortable with virtualizing mission-critical workloads, like Oracle, SAS, and SAP. The goal is to gain the flexibility of a virtual compute infrastructure to…
Organizations virtualize more than just standard applications, today businesses mandate the virtualization of mission critical applications like SAP, SAS, Oracle and MS-SQL. Placing these performance dependent applications in a virtualized environment could potentially risk inconsistent performance because they now share…
Many enterprises have started or are well down the path of exploring the opportunities presented by artificial intelligence, deep learning and machine learning. The result of all of these initiatives is the cognitive era where systems almost appear to think…